Makefile

# author: Ning Wang, Jiaying Liao
# date: 2023-03-23

# runs all but not the report
all: data/automobile.csv analysis/vars/automobile.rds data/levels.csv eda_figs data/kept.csv model_figs

# download the data
data/automobile.csv: R/01-write_data.R
	Rscript R/01-write_data.R --input_dir="https://archive.ics.uci.edu/ml/machine-learning-databases/autos/imports-85.data"  --out_dir="data"

# read csv and save as variable
analysis/vars/automobile.rds: data/automobile.csv R/02-read_data.R 
	Rscript R/02-read_data.R

# generates the levels.csv for EDA
data/levels.csv: R/02-read_data.R R/03-eda_tables.R data/automobile.csv
	Rscript R/03-eda_tables.R --out_dir="data"

# stores all the plots for EDA
eda_figs=$(analysis/figs/length.png analysis/figs/width.png analysis/figs/curb_weight.png analysis/figs/eg_size.png analysis/figs/horse_pw.png analysis/figs/hw_mpg.png analysis/figs/cld.png analysis/figs/make.png)
eda_figs: data/automobile.csv
	Rscript R/04-eda_plots.R 

# generates the kept.csv
data/kept.csv: R/05-train_models.R data/automobile.csv
	Rscript R/05-train_models.R --out_dir="data"

# stores all plots for model
model_figs=$(analysis/figs/lasso.png analysis/figs/ridge.png)
model_figs: data/automobile.csv data/kept.csv
	Rscript R/06-model_plots.R 


# run docker container (for windows)
.PHONY: container
container:
	docker run -it --rm -p 8787:8787 -e PASSWORD="a" -v /"$$(pwd)":/home/rstudio dsci-310-group-07

# generate the report
.PHONY: report
report:
	make clean 
	make all
	Rscript -e "rmarkdown::render('analysis/report.rmd', output_dir='analysis',output_format = 'all')"
	
# clean all output
.PHONY: clean
clean:
	rm -f data/kept.csv
	rm -f data/levels.csv
	rm -f data/automobile.csv
	rm -rf analysis/figs/
	rm -rf analysis/vars/
	rm -f analysis/report.html
	rm -f analysis/report.pdf